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Stochastic analysis

Stochastic analysis is the analysis of functionals defined on the Wiener space, i.e., the space on which a Wiener process is realized. Since the Wiener space is infinite-dimensional, it requires a special calculus, the so-called Malliavin calculus. The goal of the book is to provide the reader with...

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Detalles Bibliográficos
Autor principal: Shigekawa, Ichiro
Lenguaje:eng
Publicado: American Mathematical Society 2004
Materias:
Acceso en línea:http://cds.cern.ch/record/2713831
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author Shigekawa, Ichiro
author_facet Shigekawa, Ichiro
author_sort Shigekawa, Ichiro
collection CERN
description Stochastic analysis is the analysis of functionals defined on the Wiener space, i.e., the space on which a Wiener process is realized. Since the Wiener space is infinite-dimensional, it requires a special calculus, the so-called Malliavin calculus. The goal of the book is to provide the reader with a concise introduction to stochastic analysis, and, in particular, to the Malliavin calculus. The book contains a detailed description of all technical tools necessary to describe the theory, such as the Wiener process, the Ornstein-Uhlenbeck process, and Sobolev spaces. It also presents applications of stochastic calculus to the study of stochastic differential equations.
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institution Organización Europea para la Investigación Nuclear
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publishDate 2004
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spelling cern-27138312021-04-21T18:09:11Zhttp://cds.cern.ch/record/2713831engShigekawa, IchiroStochastic analysisMathematical Physics and MathematicsStochastic analysis is the analysis of functionals defined on the Wiener space, i.e., the space on which a Wiener process is realized. Since the Wiener space is infinite-dimensional, it requires a special calculus, the so-called Malliavin calculus. The goal of the book is to provide the reader with a concise introduction to stochastic analysis, and, in particular, to the Malliavin calculus. The book contains a detailed description of all technical tools necessary to describe the theory, such as the Wiener process, the Ornstein-Uhlenbeck process, and Sobolev spaces. It also presents applications of stochastic calculus to the study of stochastic differential equations.American Mathematical Societyoai:cds.cern.ch:27138312004
spellingShingle Mathematical Physics and Mathematics
Shigekawa, Ichiro
Stochastic analysis
title Stochastic analysis
title_full Stochastic analysis
title_fullStr Stochastic analysis
title_full_unstemmed Stochastic analysis
title_short Stochastic analysis
title_sort stochastic analysis
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/2713831
work_keys_str_mv AT shigekawaichiro stochasticanalysis